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Dongbock Kim, Sat Byul Seo, Nam Hyun Yoo and Gisu Shin
In many small- and medium-sized enterprises (SMEs), defective products are still manually verified in the manufacturing process. Recently, image classification applying deep learning technology has been successful in classifying images of defective and i...
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Yan Tao Eugene Chian and Jing Tian
Defect detection in images is a challenging task due to the existence of tiny and noisy patterns on surface images. To tackle this challenge, a defect detection approach is proposed in this paper using statistical data fusion. First, the proposed approac...
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Nils Ellendt, Fabian Fabricius and Anastasiya Toenjes
Additive manufacturing processes offer high geometric flexibility and allow the use of new alloy concepts due to high cooling rates. For each new material, parameter studies have to be performed to find process parameters that minimize microstructural de...
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Shiqing Wu, Shiyu Zhao, Qianqian Zhang, Long Chen and Chenrui Wu
The classification of steel surface defects plays a very important role in analyzing their causes to improve manufacturing process and eliminate defects. However, defective samples are very scarce in actual production, so using very few samples to constr...
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Young-Gyu Kim and Tae-Hyoung Park
The contribution of this paper is to propose a dual-stream convolutional neural network (CNN) using two solder regions for inspections of surface mount technology (SMT) assembly defects. We extract two solder regions from a printed circuit board (PCB) im...
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In Hyuk Choi, Ju Am Son, Ja Bin Koo, Young Geun Yoon and Tae Keun Oh
More than 55% of porcelain insulators installed throughout Korea have exceeded their service life. Hence, utilities are extremely interested in determining the robustness of insulators in their systems. In this study, the identification of the peak range...
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Sakthi Kumaresh,Ramachandran Baskaran
Pág. 31 - 36
Early detection of software defects is very important to decrease the software cost and subsequently increase the software quality. Success of software industries not only depends on gaining knowledge about software defects, but largely reflects from the...
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Manhuai Lu and Chin-Ling Chen
Surface defects on bearings can directly affect the service life and reduce the performance of equipment. At present, the detection of bearing surface defects is mostly done manually, which is labor-intensive and results in poor stability. To improve the...
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Weijia Yao, Yongpeng Xu, Yong Qian, Gehao Sheng and Xiuchen Jiang
Insulation defects that occur in gas-insulated switchgear (GIS), which is one of the most important types of equipment in the power grid, can lead to serious accidents. The ultrasonic detection method is commonly used to detect partial discharge (PD) sig...
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Xiaoming Liu, Ke Xu, Peng Zhou and Huajie Liu
First, the surface defect inspection characteristics of continuous casting slab is that the slab moves slowly on the production line, so the feature extraction method does not need too fast a calculation speed. Second, the inspection difficulties of cont...
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Wenhui Hou, Dashan Zhang, Ye Wei, Jie Guo and Xiaolong Zhang
The weld defects inspection from radiography films is critical for assuring the serviceability and safety of weld joints. The various limitations of human interpretation made the development of innovative computer-aided techniques for automatic detection...
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Sang Moo Huh and Woo-Je Kim
As embedded software is closely related to hardware equipment, any defect in embedded software can lead to major accidents. Thus, all defects must be collected, classified, and tested based on their severity. In the pure software field, a method of deriv...
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Xi Chen, Lei Dong, Hong-Chang Li, Xin-Peng Yao, Peng Wang and Shuang Yao
Defects and errors in code are different in that they are not detected by editors or compilers but pose a potential risk to software operation. For safety-critical software such as airborne software, the code review process is necessary to ensure the pro...
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Zhuang Li, Xincheng Tian, Xin Liu, Yan Liu and Xiaorui Shi
Aiming to address the currently low accuracy of domestic industrial defect detection, this paper proposes a Two-Stage Industrial Defect Detection Framework based on Improved-YOLOv5 and Optimized-Inception-ResnetV2, which completes positioning and classif...
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Faezeh Jafari and Sattar Dorafshan
Interpretation of IE data have been carried out by analyzing IE signals in frequency domain to determine the maximum frequency. However, the current peak frequency method can be inaccurate. The purpose of this research is to introduce features in IE sign...
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Jonas Aust, Antonija Mitrovic and Dirk Pons
Background?In aircraft engine maintenance, the majority of parts, including engine blades, are inspected visually for any damage to ensure a safe operation. While this process is called visual inspection, there are other human senses encompassed in this ...
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Xinbo Huang, Zhiwei Song, Chao Ji, Ye Zhang and Luya Yang
Different types of surface defects will occur during the production of strip steel. To ensure production quality, it is essential to classify these defects. Our research indicates that two main problems exist in the existing strip steel surface defect cl...
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Abdullahi Abubakar Mas?ud, Jorge Alfredo Ardila-Rey, Ricardo Albarracín, Firdaus Muhammad-Sukki and Nurul Aini Bani
This paper compared the capabilities of the artificial neural network (ANN) and the fuzzy logic (FL) approaches for recognizing and discriminating partial discharge (PD) fault classes. The training and testing parameters for the ANN and FL comprise stati...
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Muhammad Hussain
The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking via ma...
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Thanh-Hung Nguyen, Huu-Long Nguyen, Ngoc-Tam Bui, Trung-Hieu Bui, Van-Ban Vu, Hoai-Nam Duong and Hong-Hai Hoang
This paper proposes a machine vision system for the surface inspection of black rubber rollers in manufacturing processes. The system aims to enhance the surface quality of the rollers by detecting and classifying defects. A lighting system is installed ...
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